Integration Architect Sr

Elevance Health•Ashburn, VA

2d•Hybrid

About The Position

Develops and maintains integration reference architecture articulating cost effective, efficient integration of applications and databases internally and with external business partners. Creates the overall architecture vision for integration technologies and ensures specific components are appropriately designed and leveraged; contributes to the holistic vision of solution architecture for data, applications and AI. Creates Integration-related reference architecture frameworks and patterns. Drives the creation of integration-specific blueprints and roadmaps. Integration subject matter expert and advisor who creates best practices and ensures alignment with the future state integration reference architecture. Promotes adoption of industry best practices for integration architecture frameworks, tools, standards and guidelines.

Requirements

Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 5 years of experience in architecture/design in relevant technology disciplines; or any combination of education and experience, which would provide an equivalent background.

Nice To Haves

Experience leading large enterprise engineering, scaled agile, technology strategy , driving end-to-end SDLC quality, governance, and metrics.
Strong cross-functional leadership to embed quality ownership across engineering, product, and operations teams .
Deep understanding of compliance, security, and data privacy aligned to testing and validation processes.

Responsibilities

Define Integration Strategy: Lead the design and evolution of integration architecture aligned with business priorities, digital transformation, and cloud-first strategy.
Architect Scalable Integration Solutions: Design secure, scalable integration patterns leveraging API-led, event-driven, and microservices-based architectures across hybrid environments (on-prem, cloud, SaaS).
API, Data and Integration Governance: Establish standards and governance for Data, APIs, messaging, events, and data integration to ensure consistency, reuse, and compliance.
Streaming & Event-Driven Architecture Expertise: Design and implement real-time data streaming solutions using platforms such as Kafka, Azure Event Hubs, or similar, enabling high-throughput, low-latency integration patterns.
AI-Enabled Integration & Automation: Incorporate AI/ML capabilities into integration architectures (e.g., intelligent routing, anomaly detection, predictive workflows) and leverage AI services for smarter orchestration and decisioning.
Modern Integration Protocols & MCP (Model Context Protocol): Drive adoption of modern integration paradigms including MCP and AI-agent interoperability patterns to enable seamless integration with LLM-based and agent-driven ecosystems.
Data Foundation: Knowledge about data domain along with good understanding of data governance and stewardship.
Technology Leadership & Platform Ownership: Evaluate and lead integration platform adoption (MuleSoft, Azure Integration Services, Boomi, etc.) ensuring scalability, performance, and cost efficiency.
Transformation & Modernization Leadership: Lead migration from legacy point-to-point integrations to API-first and event-driven architectures, supporting enterprise modernization initiatives.
Security, Compliance & Resilience: Ensure all integrations adhere to security standards, data privacy regulations, and enterprise resiliency requirements including zero-trust and secure API design.
Thought Leadership & Stakeholder Influence: Provide architectural leadership, mentor teams, and influence senior stakeholders with forward-looking integration roadmaps and emerging technology adoption.